An international research consortium has been formed to create the most detailed and medically useful picture to date of human genetic variation. The 1000 Genomes Project will involve sequencing the genomes of at least a thousand people from around the world. The project will receive major support from the Wellcome Trust Sanger Institute in Hinxton, England, the Beijing Genomics Institute Shenzhen in China and the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health (NIH). Drawing on the expertise of multidisciplinary research teams, the 1000 Genomes Project will develop a new map of the human genome that will provide a view of biomedically relevant DNA variations at a resolution unmatched by current resources. As with other major human genome reference projects, data from the 1000 Genomes Project will be made swiftly available to the worldwide scientific community through freely accessible public databases. ... [Information of the supplier]
One of the first steps in discovering and understanding biodiversity is to identify the organisms around us. Traditionally, this has been done using paper-printed keys which enable us to correctly name an organism. Most of them, however, are "difficult" and hardly usable for educational purposes. KeyToNature is developing a range of new, much easier and paper-free identification tools, for use within schools and universities across Europe. They are available on a variety of platforms including laptops and mobile phones, some of them can be tailored to individual requirements. The project mobilizes 14 partners from 11 EU countries, including leading centres in biology, pedagogy, education, and information technology. KeyToNature mainly addresses the formal education systems of Europe, from teachers to pupils, from primary schools to universities. ... [Information of the supplier]
Completed in 2003, the Human Genome Project (HGP) was a 13-year project coordinated by the U.S. Department of Energy and the National Institutes of Health. During the early years of the HGP, the Wellcome Trust (U.K.) became a major partner; additional contributions came from Japan, France, Germany, China, and others. See our history page for more information. Project goals were to identify all the approximately 20,000-25,000 genes in human DNA, determine the sequences of the 3 billion chemical base pairs that make up human DNA, store this information in databases, improve tools for data analysis, transfer related technologies to the private sector, and address the ethical, legal, and social issues (ELSI) that may arise from the project. Though the HGP is finished, analyses of the data will continue for many years. Follow this ongoing research on our Progress page. ... [Information of the supplier]
The Neandertal genome project was initiated in 2006 to sequence the 3 billion bases that make up the complete genome of the closest human relative – the Neandertals. A multidisciplinary research consortium led by Svante Pääbo at the Max Planck Institute for Evolutionary Anthropology, is undertaking analysis of the sequence data which has been generated in collaboration with 454 Life Sciences and Illumina. ... [Information of the supplier]
Volunteers from the general public working together with researchers to advance personal genomics. We believe individuals from the general public have a vital role to play in making personal genomes useful. We are recruiting volunteers who are willing to share their genome sequence and many types of personal information with the research community and the general public, so that together we will be better able to advance our understanding of genetic and environmental contributions to human traits. Learn more about how to participate in the Personal Genome Project. ... [Information of the supplier]
Grid computing is regarded as one of the critical success factors in biomedical Research. The joint project MediGRID unifies well known research institutes in the area of medicine, biomedical informatics and life sciences into a consortium. Numerous associated partners from industry, healthcare and research facilities ensure a broad representation of these communities. The main goal of MediGRID is the Development of a Grid middleware integration platform enabling eScience services for biomedical life science. Therefore the consortium allocated the tasks in different modules. The four methodological modules (middleware, ontology, resource fusion and eScience) plan to incrementally develop and provide a Grid infrastructure while taking into account the need of the biomedical users. The user communities are represented in three research modules for biomedical informatics, image processing and clinical research. ... [Information of the supplier]
The NCI's Cancer Genome Anatomy Project sought to determine the gene expression profiles of normal, precancer, and cancer cells, leading eventually to improved detection, diagnosis, and treatment for the patient. Resources generated by the CGAP initiative are available to the broad cancer community. Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find "in silico" answers to biological questions in a fraction of the time it once took in the laboratory. ... [Information of the supplier]
In September, 2001, the National Institute of Diabetes, Digestive, and Kidney Diseases (NIDDK) convened a working group of its National Advisory Council to develop a strategic plan for Stem Cells and Developmental Biology. The working group made several recommendations, with the overall goals of providing new strategies for repairing or replacing damaged organs and generating new insights into pathologic processes underlying developmental defects and disease. There is the need for a more thorough understanding of organogenesis so that tissue degeneration and congenital malformations might be prevented and treated. The goal of GUDMAP is a fundamental description of the developing kidney and GU tract. The panel recommended that the following three objectives be combined to form the GUDMAP. a) High throughput in situ hybridization analyses to define the expression pattern of genes expressed in the developing kidney and GU tract, b) High resolution gene expression analyses to define gene expression during developmental time, the overlap in gene expression patterns, and the correlation between boundaries of gene expression and boundaries of anatomic or functional domains and c) Development of a database to house and annotate the above data and to provide rapid access of this data to the entire research community. Microarray analyses and the generation of murine strains with genetic markers are also goals of GUDMAP which serve to bolster the overall aim of defining molecular and cellular anatomy through developmental time. ... [Information of the supplier, modified]
COST is an intergovernmental framework for European Cooperation in Science and Technology, allowing the coordination of nationally-funded research on a European level. COST fosters the establishment of scientific excellence in the nine key domains. The domain "Biomedicine and Molecular Biosciences" (BMBS) covers all areas of medicine as practiced in Europe and basic, preclinical and clinical medical research developed to materialise the “bench to bedside” concept. ... [Information of the supplier, modified]
One of the main objectives of the HBP is to create and operate six Information and Communications Technology (ICT) Platforms, which are the core of the emerging HBP research infrastructure for brain research. Starting 30 March 2016, the scientific community worldwide can begin exploring the initial versions of the six HBP ICT Platforms. The Platforms embody the key objectives of the HBP, to gather and disseminate data describing the brain, to simulate and build models of the brain, to develop brain-inspired computing and robotics, and to create a global scientific community around the developing research infrastructure. The Platforms consist of prototype hardware, software tools, databases, programming interfaces, and initial data-sets, which will be refined and expanded on an on-going basis in close collaboration with end-users. The development of the Platforms has been the result of an extensive multidisciplinary effort involving more than 750 scientific collaborators and engineers from 114 institutions in 24 countries. The Platforms are as follows: the Neuroinformatics Platform, the Brain Simulation Platform, the High Performance Analytics and Computing Platform, the Medical Informatics Platform, the Neuromorphic Computing Platform and the Neurorobotics Platform. ... [Information of the supplier, modified]
